export const treeData = {
  id: 'Modeling Methods',
  children: [
    {
      id: 'Classification',
      children: [
        {
          id: 'Logistic regression',
        },
        {
          id: 'Linear discriminant analysis',
        },
        {
          id: 'Rules',
        },
        {
          id: 'Decision trees',
        },
        {
          id: 'Naive Bayes',
        },
        {
          id: 'K nearest neighbor',
        },
        {
          id: 'Probabilistic neural network',
        },
        {
          id: 'Support vector machine',
        },
      ],
    },
    {
      id: 'Consensus',
      children: [
        {
          id: 'Models diversity',
          children: [
            {
              id: 'Different initializations',
            },
            {
              id: 'Different parameter choices',
            },
            {
              id: 'Different architectures',
            },
            {
              id: 'Different modeling methods',
            },
            {
              id: 'Different training sets',
            },
            {
              id: 'Different feature sets',
            },
          ],
        },
        {
          id: 'Methods',
          children: [
            {
              id: 'Classifier selection',
            },
            {
              id: 'Classifier fusion',
            },
          ],
        },
        {
          id: 'Common',
          children: [
            {
              id: 'Bagging',
            },
            {
              id: 'Boosting',
            },
            {
              id: 'AdaBoost',
            },
          ],
        },
      ],
    },
    {
      id: 'Regression',
      children: [
        {
          id: 'Multiple linear regression',
        },
        {
          id: 'Partial least squares',
        },
        {
          id: 'Multi-layer feedforward neural network',
        },
        {
          id: 'General regression neural network',
        },
        {
          id: 'Support vector regression',
        },
      ],
    },
  ],
};
